Dataset statistics
| Number of variables | 15 |
|---|---|
| Number of observations | 2175 |
| Missing cells | 8049 |
| Missing cells (%) | 24.7% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 255.0 KiB |
| Average record size in memory | 120.1 B |
Variable types
| Categorical | 6 |
|---|---|
| Numeric | 9 |
country has a high cardinality: 78 distinct values | High cardinality |
iso_code has a high cardinality: 73 distinct values | High cardinality |
date has a high cardinality: 53 distinct values | High cardinality |
source_website has a high cardinality: 74 distinct values | High cardinality |
total_vaccinations is highly correlated with people_vaccinated and 3 other fields | High correlation |
people_vaccinated is highly correlated with total_vaccinations and 3 other fields | High correlation |
people_fully_vaccinated is highly correlated with total_vaccinations and 2 other fields | High correlation |
daily_vaccinations_raw is highly correlated with total_vaccinations and 2 other fields | High correlation |
daily_vaccinations is highly correlated with total_vaccinations and 3 other fields | High correlation |
total_vaccinations_per_hundred is highly correlated with people_vaccinated_per_hundred | High correlation |
people_vaccinated_per_hundred is highly correlated with total_vaccinations_per_hundred | High correlation |
source_name is highly correlated with source_website and 2 other fields | High correlation |
source_website is highly correlated with source_name and 3 other fields | High correlation |
country is highly correlated with source_name and 3 other fields | High correlation |
iso_code is highly correlated with source_name and 3 other fields | High correlation |
vaccines is highly correlated with source_website and 2 other fields | High correlation |
iso_code has 210 (9.7%) missing values | Missing |
total_vaccinations has 738 (33.9%) missing values | Missing |
people_vaccinated has 1047 (48.1%) missing values | Missing |
people_fully_vaccinated has 1553 (71.4%) missing values | Missing |
daily_vaccinations_raw has 1007 (46.3%) missing values | Missing |
daily_vaccinations has 78 (3.6%) missing values | Missing |
total_vaccinations_per_hundred has 738 (33.9%) missing values | Missing |
people_vaccinated_per_hundred has 1047 (48.1%) missing values | Missing |
people_fully_vaccinated_per_hundred has 1553 (71.4%) missing values | Missing |
daily_vaccinations_per_million has 78 (3.6%) missing values | Missing |
total_vaccinations_per_hundred has 48 (2.2%) zeros | Zeros |
people_vaccinated_per_hundred has 25 (1.1%) zeros | Zeros |
people_fully_vaccinated_per_hundred has 39 (1.8%) zeros | Zeros |
Reproduction
| Analysis started | 2021-02-05 19:19:54.297799 |
|---|---|
| Analysis finished | 2021-02-05 19:20:08.204534 |
| Duration | 13.91 seconds |
| Software version | pandas-profiling v2.10.0 |
| Download configuration | config.yaml |
| Distinct | 78 |
|---|---|
| Distinct (%) | 3.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 17.1 KiB |
| Northern Ireland | 52 |
|---|---|
| Wales | 52 |
| Scotland | 52 |
| China | 48 |
| Canada | 47 |
| Other values (73) |
Length
| Max length | 20 |
|---|---|
| Median length | 7 |
| Mean length | 7.740229885 |
| Min length | 4 |
Characters and Unicode
| Total characters | 16835 |
|---|---|
| Distinct characters | 46 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 6 ? |
|---|---|
| Unique (%) | 0.3% |
Sample
| 1st row | Algeria |
|---|---|
| 2nd row | Algeria |
| 3rd row | Andorra |
| 4th row | Andorra |
| 5th row | Andorra |
| Value | Count | Frequency (%) |
| Northern Ireland | 52 | 2.4% |
| Wales | 52 | 2.4% |
| Scotland | 52 | 2.4% |
| China | 48 | 2.2% |
| Canada | 47 | 2.2% |
| Israel | 47 | 2.2% |
| United States | 46 | 2.1% |
| United Kingdom | 45 | 2.1% |
| England | 45 | 2.1% |
| Bahrain | 43 | 2.0% |
| Other values (68) | 1698 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| united | 121 | 4.9% |
| ireland | 84 | 3.4% |
| northern | 61 | 2.4% |
| wales | 52 | 2.1% |
| scotland | 52 | 2.1% |
| china | 48 | 1.9% |
| israel | 47 | 1.9% |
| canada | 47 | 1.9% |
| states | 46 | 1.8% |
| kingdom | 45 | 1.8% |
| Other values (76) | 1889 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 2375 | |
| n | 1441 | 8.6% |
| e | 1373 | 8.2% |
| i | 1251 | 7.4% |
| r | 1131 | 6.7% |
| l | 875 | 5.2% |
| t | 855 | 5.1% |
| d | 728 | 4.3% |
| o | 708 | 4.2% |
| s | 469 | 2.8% |
| Other values (36) | 5629 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 14040 | |
| Uppercase Letter | 2478 | 14.7% |
| Space Separator | 317 | 1.9% |
Most frequent character per category
| Value | Count | Frequency (%) |
| a | 2375 | |
| n | 1441 | |
| e | 1373 | |
| i | 1251 | |
| r | 1131 | 8.1% |
| l | 875 | 6.2% |
| t | 855 | 6.1% |
| d | 728 | 5.2% |
| o | 708 | 5.0% |
| s | 469 | 3.3% |
| Other values (14) | 2834 |
| Value | Count | Frequency (%) |
| S | 383 | |
| C | 286 | |
| I | 265 | |
| B | 163 | 6.6% |
| N | 135 | 5.4% |
| A | 129 | 5.2% |
| E | 128 | 5.2% |
| M | 125 | 5.0% |
| U | 121 | 4.9% |
| L | 119 | 4.8% |
| Other values (11) | 624 |
| Value | Count | Frequency (%) |
| 317 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 16518 | |
| Common | 317 | 1.9% |
Most frequent character per script
| Value | Count | Frequency (%) |
| a | 2375 | |
| n | 1441 | 8.7% |
| e | 1373 | 8.3% |
| i | 1251 | 7.6% |
| r | 1131 | 6.8% |
| l | 875 | 5.3% |
| t | 855 | 5.2% |
| d | 728 | 4.4% |
| o | 708 | 4.3% |
| s | 469 | 2.8% |
| Other values (35) | 5312 |
| Value | Count | Frequency (%) |
| 317 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 16835 |
Most frequent character per block
| Value | Count | Frequency (%) |
| a | 2375 | |
| n | 1441 | 8.6% |
| e | 1373 | 8.2% |
| i | 1251 | 7.4% |
| r | 1131 | 6.7% |
| l | 875 | 5.2% |
| t | 855 | 5.1% |
| d | 728 | 4.3% |
| o | 708 | 4.2% |
| s | 469 | 2.8% |
| Other values (36) | 5629 |
| Distinct | 73 |
|---|---|
| Distinct (%) | 3.7% |
| Missing | 210 |
| Missing (%) | 9.7% |
| Memory size | 17.1 KiB |
| CHN | 48 |
|---|---|
| ISR | 47 |
| CAN | 47 |
| USA | 46 |
| GBR | 45 |
| Other values (68) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 5895 |
|---|---|
| Distinct characters | 25 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 6 ? |
|---|---|
| Unique (%) | 0.3% |
Sample
| 1st row | DZA |
|---|---|
| 2nd row | DZA |
| 3rd row | AND |
| 4th row | AND |
| 5th row | AND |
| Value | Count | Frequency (%) |
| CHN | 48 | 2.2% |
| ISR | 47 | 2.2% |
| CAN | 47 | 2.2% |
| USA | 46 | 2.1% |
| GBR | 45 | 2.1% |
| BHR | 43 | 2.0% |
| CHL | 42 | 1.9% |
| MEX | 42 | 1.9% |
| CHE | 40 | 1.8% |
| CRI | 40 | 1.8% |
| Other values (63) | 1525 | |
| (Missing) | 210 | 9.7% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| chn | 48 | 2.4% |
| can | 47 | 2.4% |
| isr | 47 | 2.4% |
| usa | 46 | 2.3% |
| gbr | 45 | 2.3% |
| bhr | 43 | 2.2% |
| mex | 42 | 2.1% |
| chl | 42 | 2.1% |
| che | 40 | 2.0% |
| cri | 40 | 2.0% |
| Other values (63) | 1525 |
Most occurring characters
| Value | Count | Frequency (%) |
| R | 646 | 11.0% |
| S | 435 | 7.4% |
| N | 423 | 7.2% |
| L | 378 | 6.4% |
| A | 376 | 6.4% |
| U | 370 | 6.3% |
| C | 368 | 6.2% |
| E | 349 | 5.9% |
| I | 310 | 5.3% |
| T | 269 | 4.6% |
| Other values (15) | 1971 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 5895 |
Most frequent character per category
| Value | Count | Frequency (%) |
| R | 646 | 11.0% |
| S | 435 | 7.4% |
| N | 423 | 7.2% |
| L | 378 | 6.4% |
| A | 376 | 6.4% |
| U | 370 | 6.3% |
| C | 368 | 6.2% |
| E | 349 | 5.9% |
| I | 310 | 5.3% |
| T | 269 | 4.6% |
| Other values (15) | 1971 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 5895 |
Most frequent character per script
| Value | Count | Frequency (%) |
| R | 646 | 11.0% |
| S | 435 | 7.4% |
| N | 423 | 7.2% |
| L | 378 | 6.4% |
| A | 376 | 6.4% |
| U | 370 | 6.3% |
| C | 368 | 6.2% |
| E | 349 | 5.9% |
| I | 310 | 5.3% |
| T | 269 | 4.6% |
| Other values (15) | 1971 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 5895 |
Most frequent character per block
| Value | Count | Frequency (%) |
| R | 646 | 11.0% |
| S | 435 | 7.4% |
| N | 423 | 7.2% |
| L | 378 | 6.4% |
| A | 376 | 6.4% |
| U | 370 | 6.3% |
| C | 368 | 6.2% |
| E | 349 | 5.9% |
| I | 310 | 5.3% |
| T | 269 | 4.6% |
| Other values (15) | 1971 |
| Distinct | 53 |
|---|---|
| Distinct (%) | 2.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 17.1 KiB |
| 2021-01-27 | 64 |
|---|---|
| 2021-01-26 | 64 |
| 2021-01-29 | 63 |
| 2021-01-28 | 63 |
| 2021-01-24 | 63 |
| Other values (48) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 21750 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2021-01-29 |
|---|---|
| 2nd row | 2021-01-30 |
| 3rd row | 2021-01-25 |
| 4th row | 2021-01-26 |
| 5th row | 2021-01-27 |
| Value | Count | Frequency (%) |
| 2021-01-27 | 64 | 2.9% |
| 2021-01-26 | 64 | 2.9% |
| 2021-01-29 | 63 | 2.9% |
| 2021-01-28 | 63 | 2.9% |
| 2021-01-24 | 63 | 2.9% |
| 2021-01-22 | 61 | 2.8% |
| 2021-01-25 | 61 | 2.8% |
| 2021-01-21 | 61 | 2.8% |
| 2021-01-23 | 60 | 2.8% |
| 2021-01-30 | 60 | 2.8% |
| Other values (43) | 1555 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2021-01-27 | 64 | 2.9% |
| 2021-01-26 | 64 | 2.9% |
| 2021-01-29 | 63 | 2.9% |
| 2021-01-28 | 63 | 2.9% |
| 2021-01-24 | 63 | 2.9% |
| 2021-01-22 | 61 | 2.8% |
| 2021-01-25 | 61 | 2.8% |
| 2021-01-21 | 61 | 2.8% |
| 2021-01-23 | 60 | 2.8% |
| 2021-01-30 | 60 | 2.8% |
| Other values (43) | 1555 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 5820 | |
| 0 | 5136 | |
| 1 | 4838 | |
| - | 4350 | |
| 3 | 414 | 1.9% |
| 9 | 217 | 1.0% |
| 8 | 212 | 1.0% |
| 7 | 201 | 0.9% |
| 6 | 194 | 0.9% |
| 5 | 185 | 0.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 17400 | |
| Dash Punctuation | 4350 | 20.0% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 2 | 5820 | |
| 0 | 5136 | |
| 1 | 4838 | |
| 3 | 414 | 2.4% |
| 9 | 217 | 1.2% |
| 8 | 212 | 1.2% |
| 7 | 201 | 1.2% |
| 6 | 194 | 1.1% |
| 5 | 185 | 1.1% |
| 4 | 183 | 1.1% |
| Value | Count | Frequency (%) |
| - | 4350 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 21750 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 2 | 5820 | |
| 0 | 5136 | |
| 1 | 4838 | |
| - | 4350 | |
| 3 | 414 | 1.9% |
| 9 | 217 | 1.0% |
| 8 | 212 | 1.0% |
| 7 | 201 | 0.9% |
| 6 | 194 | 0.9% |
| 5 | 185 | 0.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 21750 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 2 | 5820 | |
| 0 | 5136 | |
| 1 | 4838 | |
| - | 4350 | |
| 3 | 414 | 1.9% |
| 9 | 217 | 1.0% |
| 8 | 212 | 1.0% |
| 7 | 201 | 0.9% |
| 6 | 194 | 0.9% |
| 5 | 185 | 0.9% |
| Distinct | 1403 |
|---|---|
| Distinct (%) | 97.6% |
| Missing | 738 |
| Missing (%) | 33.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 960177.2846 |
|---|---|
| Minimum | 0 |
| Maximum | 33878254 |
| Zeros | 21 |
| Zeros (%) | 1.0% |
| Memory size | 17.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1715.4 |
| Q1 | 21169 |
| median | 112213 |
| Q3 | 495164 |
| 95-th percentile | 4374347.2 |
| Maximum | 33878254 |
| Range | 33878254 |
| Interquartile range (IQR) | 473995 |
Descriptive statistics
| Standard deviation | 3134586.609 |
|---|---|
| Coefficient of variation (CV) | 3.264591507 |
| Kurtosis | 52.68255573 |
| Mean | 960177.2846 |
| Median Absolute Deviation (MAD) | 105204 |
| Skewness | 6.690929966 |
| Sum | 1379774758 |
| Variance | 9.825633207 × 1012 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 21 | 1.0% |
| 2174 | 3 | 0.1% |
| 100000 | 2 | 0.1% |
| 12866 | 2 | 0.1% |
| 5847 | 2 | 0.1% |
| 7017 | 2 | 0.1% |
| 15000 | 2 | 0.1% |
| 2000 | 2 | 0.1% |
| 99366 | 2 | 0.1% |
| 30000 | 2 | 0.1% |
| Other values (1393) | 1397 | |
| (Missing) | 738 |
| Value | Count | Frequency (%) |
| 0 | 21 | |
| 5 | 1 | < 0.1% |
| 6 | 1 | < 0.1% |
| 13 | 1 | < 0.1% |
| 26 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 33878254 | 1 | |
| 32780860 | 1 | |
| 32222402 | 1 | |
| 31123299 | 1 | |
| 29577902 | 1 |
| Distinct | 1104 |
|---|---|
| Distinct (%) | 97.9% |
| Missing | 1047 |
| Missing (%) | 48.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 996184.6356 |
|---|---|
| Minimum | 0 |
| Maximum | 27154956 |
| Zeros | 4 |
| Zeros (%) | 0.2% |
| Memory size | 17.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2586.45 |
| Q1 | 26310.5 |
| median | 131923 |
| Q3 | 567644.5 |
| 95-th percentile | 4593472 |
| Maximum | 27154956 |
| Range | 27154956 |
| Interquartile range (IQR) | 541334 |
Descriptive statistics
| Standard deviation | 3002410.852 |
|---|---|
| Coefficient of variation (CV) | 3.013910017 |
| Kurtosis | 37.1187987 |
| Mean | 996184.6356 |
| Median Absolute Deviation (MAD) | 119614.5 |
| Skewness | 5.698532561 |
| Sum | 1123696269 |
| Variance | 9.014470926 × 1012 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 24773 | 10 | 0.5% |
| 0 | 4 | 0.2% |
| 2174 | 3 | 0.1% |
| 11073 | 2 | 0.1% |
| 7017 | 2 | 0.1% |
| 56764 | 2 | 0.1% |
| 45707 | 2 | 0.1% |
| 12866 | 2 | 0.1% |
| 5847 | 2 | 0.1% |
| 11743 | 2 | 0.1% |
| Other values (1094) | 1097 | |
| (Missing) | 1047 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 5 | 1 | < 0.1% |
| 13 | 1 | < 0.1% |
| 26 | 1 | < 0.1% |
| 52 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 27154956 | 1 | |
| 26440836 | 1 | |
| 26023153 | 1 | |
| 25201143 | 1 | |
| 24064165 | 1 |
| Distinct | 571 |
|---|---|
| Distinct (%) | 91.8% |
| Missing | 1553 |
| Missing (%) | 71.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 226682.8746 |
|---|---|
| Minimum | 1 |
| Maximum | 6436931 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 17.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 314.9 |
| Q1 | 4537.25 |
| median | 17929 |
| Q3 | 107794.5 |
| 95-th percentile | 877724.05 |
| Maximum | 6436931 |
| Range | 6436930 |
| Interquartile range (IQR) | 103257.25 |
Descriptive statistics
| Standard deviation | 714811.6473 |
|---|---|
| Coefficient of variation (CV) | 3.153355315 |
| Kurtosis | 37.88514871 |
| Mean | 226682.8746 |
| Median Absolute Deviation (MAD) | 16242 |
| Skewness | 5.770907329 |
| Sum | 140996748 |
| Variance | 5.109556912 × 1011 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 250000 | 24 | 1.1% |
| 750 | 4 | 0.2% |
| 1919 | 4 | 0.2% |
| 2 | 3 | 0.1% |
| 31314 | 3 | 0.1% |
| 2669 | 3 | 0.1% |
| 8360 | 3 | 0.1% |
| 9202 | 3 | 0.1% |
| 8364 | 3 | 0.1% |
| 712 | 2 | 0.1% |
| Other values (561) | 570 | 26.2% |
| (Missing) | 1553 |
| Value | Count | Frequency (%) |
| 1 | 1 | < 0.1% |
| 2 | 3 | |
| 5 | 2 | |
| 6 | 1 | < 0.1% |
| 11 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 6436931 | 1 | |
| 6064792 | 1 | |
| 5927847 | 1 | |
| 5657142 | 1 | |
| 5259693 | 1 |
| Distinct | 1114 |
|---|---|
| Distinct (%) | 95.4% |
| Missing | 1007 |
| Missing (%) | 46.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 61725.84075 |
|---|---|
| Minimum | 0 |
| Maximum | 1693241 |
| Zeros | 6 |
| Zeros (%) | 0.3% |
| Memory size | 17.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 174.6 |
| Q1 | 1798 |
| median | 9541.5 |
| Q3 | 50325 |
| 95-th percentile | 286385.35 |
| Maximum | 1693241 |
| Range | 1693241 |
| Interquartile range (IQR) | 48527 |
Descriptive statistics
| Standard deviation | 169066.3617 |
|---|---|
| Coefficient of variation (CV) | 2.738988398 |
| Kurtosis | 43.04503162 |
| Mean | 61725.84075 |
| Median Absolute Deviation (MAD) | 8830 |
| Skewness | 5.954800288 |
| Sum | 72095782 |
| Variance | 2.858343465 × 1010 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 6 | 0.3% |
| 534 | 5 | 0.2% |
| 1 | 4 | 0.2% |
| 3000 | 3 | 0.1% |
| 930 | 3 | 0.1% |
| 20140 | 3 | 0.1% |
| 924 | 3 | 0.1% |
| 8 | 3 | 0.1% |
| 1163 | 3 | 0.1% |
| 604 | 2 | 0.1% |
| Other values (1104) | 1133 | |
| (Missing) | 1007 |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 1 | 4 | |
| 3 | 1 | < 0.1% |
| 4 | 2 | 0.1% |
| 6 | 2 | 0.1% |
| Value | Count | Frequency (%) |
| 1693241 | 1 | |
| 1690979 | 1 | |
| 1561585 | 1 | |
| 1545397 | 1 | |
| 1541048 | 1 |
| Distinct | 1734 |
|---|---|
| Distinct (%) | 82.7% |
| Missing | 78 |
| Missing (%) | 3.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 50159.77682 |
|---|---|
| Minimum | 1 |
| Maximum | 1355451 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 17.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 224 |
| Q1 | 1358 |
| median | 5872 |
| Q3 | 24625 |
| 95-th percentile | 257204.6 |
| Maximum | 1355451 |
| Range | 1355450 |
| Interquartile range (IQR) | 23267 |
Descriptive statistics
| Standard deviation | 145797.9113 |
|---|---|
| Coefficient of variation (CV) | 2.906669857 |
| Kurtosis | 34.90511203 |
| Mean | 50159.77682 |
| Median Absolute Deviation (MAD) | 5242 |
| Skewness | 5.462772433 |
| Sum | 105185052 |
| Variance | 2.125703095 × 1010 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1121 | 30 | 1.4% |
| 3000 | 22 | 1.0% |
| 63 | 21 | 1.0% |
| 126 | 19 | 0.9% |
| 187500 | 16 | 0.7% |
| 62 | 14 | 0.6% |
| 240 | 11 | 0.5% |
| 13200 | 10 | 0.5% |
| 3357 | 8 | 0.4% |
| 2199 | 8 | 0.4% |
| Other values (1724) | 1938 | |
| (Missing) | 78 | 3.6% |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 6 | 1 | |
| 26 | 1 | |
| 30 | 1 | |
| 36 | 1 |
| Value | Count | Frequency (%) |
| 1355451 | 1 | |
| 1324949 | 1 | |
| 1319981 | 1 | |
| 1317946 | 1 | |
| 1291416 | 1 |
| Distinct | 592 |
|---|---|
| Distinct (%) | 41.2% |
| Missing | 738 |
| Missing (%) | 33.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.815351427 |
|---|---|
| Minimum | 0 |
| Maximum | 60.14 |
| Zeros | 48 |
| Zeros (%) | 2.2% |
| Memory size | 17.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.018 |
| Q1 | 0.36 |
| median | 1.37 |
| Q3 | 3.24 |
| 95-th percentile | 17.214 |
| Maximum | 60.14 |
| Range | 60.14 |
| Interquartile range (IQR) | 2.88 |
Descriptive statistics
| Standard deviation | 7.500090257 |
|---|---|
| Coefficient of variation (CV) | 1.965766562 |
| Kurtosis | 19.25180801 |
| Mean | 3.815351427 |
| Median Absolute Deviation (MAD) | 1.17 |
| Skewness | 4.022725824 |
| Sum | 5482.66 |
| Variance | 56.25135386 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 48 | 2.2% |
| 0.01 | 24 | 1.1% |
| 0.05 | 16 | 0.7% |
| 0.04 | 15 | 0.7% |
| 0.03 | 14 | 0.6% |
| 0.02 | 14 | 0.6% |
| 0.06 | 12 | 0.6% |
| 0.19 | 11 | 0.5% |
| 0.07 | 11 | 0.5% |
| 0.1 | 11 | 0.5% |
| Other values (582) | 1261 | |
| (Missing) | 738 |
| Value | Count | Frequency (%) |
| 0 | 48 | |
| 0.01 | 24 | |
| 0.02 | 14 | 0.6% |
| 0.03 | 14 | 0.6% |
| 0.04 | 15 | 0.7% |
| Value | Count | Frequency (%) |
| 60.14 | 1 | |
| 58.9 | 1 | |
| 57.74 | 1 | |
| 56.39 | 1 | |
| 54.87 | 1 |
| Distinct | 523 |
|---|---|
| Distinct (%) | 46.4% |
| Missing | 1047 |
| Missing (%) | 48.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.86233156 |
|---|---|
| Minimum | 0 |
| Maximum | 38.8 |
| Zeros | 25 |
| Zeros (%) | 1.1% |
| Memory size | 17.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.03 |
| Q1 | 0.4275 |
| median | 1.58 |
| Q3 | 3.18 |
| 95-th percentile | 19.243 |
| Maximum | 38.8 |
| Range | 38.8 |
| Interquartile range (IQR) | 2.7525 |
Descriptive statistics
| Standard deviation | 6.711845953 |
|---|---|
| Coefficient of variation (CV) | 1.737770528 |
| Kurtosis | 10.01915225 |
| Mean | 3.86233156 |
| Median Absolute Deviation (MAD) | 1.22 |
| Skewness | 3.08606387 |
| Sum | 4356.71 |
| Variance | 45.0488761 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 25 | 1.1% |
| 0.01 | 20 | 0.9% |
| 0.49 | 15 | 0.7% |
| 0.07 | 12 | 0.6% |
| 0.3 | 11 | 0.5% |
| 0.05 | 11 | 0.5% |
| 0.31 | 10 | 0.5% |
| 0.13 | 10 | 0.5% |
| 0.04 | 10 | 0.5% |
| 0.03 | 9 | 0.4% |
| Other values (513) | 995 | |
| (Missing) | 1047 |
| Value | Count | Frequency (%) |
| 0 | 25 | |
| 0.01 | 20 | |
| 0.02 | 9 | 0.4% |
| 0.03 | 9 | 0.4% |
| 0.04 | 10 | 0.5% |
| Value | Count | Frequency (%) |
| 38.8 | 1 | |
| 38.51 | 1 | |
| 38.25 | 1 | |
| 38.19 | 2 | |
| 38.11 | 1 |
| Distinct | 153 |
|---|---|
| Distinct (%) | 24.6% |
| Missing | 1553 |
| Missing (%) | 71.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.899244373 |
|---|---|
| Minimum | 0 |
| Maximum | 22.03 |
| Zeros | 39 |
| Zeros (%) | 1.8% |
| Memory size | 17.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0.05 |
| median | 0.235 |
| Q3 | 0.7575 |
| 95-th percentile | 2.53 |
| Maximum | 22.03 |
| Range | 22.03 |
| Interquartile range (IQR) | 0.7075 |
Descriptive statistics
| Standard deviation | 2.645650076 |
|---|---|
| Coefficient of variation (CV) | 2.942081324 |
| Kurtosis | 39.55739567 |
| Mean | 0.899244373 |
| Median Absolute Deviation (MAD) | 0.225 |
| Skewness | 6.093568272 |
| Sum | 559.33 |
| Variance | 6.999464323 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 39 | 1.8% |
| 0.01 | 34 | 1.6% |
| 0.02 | 33 | 1.5% |
| 0.04 | 29 | 1.3% |
| 2.53 | 24 | 1.1% |
| 0.05 | 24 | 1.1% |
| 0.07 | 21 | 1.0% |
| 0.03 | 15 | 0.7% |
| 0.1 | 14 | 0.6% |
| 0.78 | 11 | 0.5% |
| Other values (143) | 378 | 17.4% |
| (Missing) | 1553 |
| Value | Count | Frequency (%) |
| 0 | 39 | |
| 0.01 | 34 | |
| 0.02 | 33 | |
| 0.03 | 15 | 0.7% |
| 0.04 | 29 |
| Value | Count | Frequency (%) |
| 22.03 | 1 | |
| 21.47 | 1 | |
| 21.13 | 1 | |
| 20.74 | 1 | |
| 20.07 | 1 |
| Distinct | 1326 |
|---|---|
| Distinct (%) | 63.2% |
| Missing | 78 |
| Missing (%) | 3.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1777.1464 |
|---|---|
| Minimum | 0 |
| Maximum | 30869 |
| Zeros | 2 |
| Zeros (%) | 0.1% |
| Memory size | 17.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 48 |
| Q1 | 298 |
| median | 797 |
| Q3 | 1431 |
| 95-th percentile | 6606.2 |
| Maximum | 30869 |
| Range | 30869 |
| Interquartile range (IQR) | 1133 |
Descriptive statistics
| Standard deviation | 3388.462636 |
|---|---|
| Coefficient of variation (CV) | 1.906687393 |
| Kurtosis | 22.48705863 |
| Mean | 1777.1464 |
| Median Absolute Deviation (MAD) | 535 |
| Skewness | 4.352071836 |
| Sum | 3726676 |
| Variance | 11481679.04 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 262 | 31 | 1.4% |
| 347 | 25 | 1.1% |
| 185 | 22 | 1.0% |
| 3211 | 20 | 0.9% |
| 130 | 16 | 0.7% |
| 48 | 13 | 0.6% |
| 99 | 12 | 0.6% |
| 47 | 10 | 0.5% |
| 1 | 10 | 0.5% |
| 68 | 9 | 0.4% |
| Other values (1316) | 1929 | |
| (Missing) | 78 | 3.6% |
| Value | Count | Frequency (%) |
| 0 | 2 | 0.1% |
| 1 | 10 | |
| 2 | 7 | |
| 3 | 3 | 0.1% |
| 4 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 30869 | 1 | |
| 30424 | 1 | |
| 29266 | 1 | |
| 28465 | 1 | |
| 27990 | 1 |
| Distinct | 14 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 17.1 KiB |
| Pfizer/BioNTech | |
|---|---|
| Moderna, Pfizer/BioNTech | |
| Oxford/AstraZeneca, Pfizer/BioNTech | |
| Pfizer/BioNTech, Sinopharm | 73 |
| Sputnik V | 69 |
| Other values (9) |
Length
| Max length | 37 |
|---|---|
| Median length | 15 |
| Mean length | 20.19494253 |
| Min length | 7 |
Characters and Unicode
| Total characters | 43924 |
|---|---|
| Distinct characters | 34 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Sputnik V |
|---|---|
| 2nd row | Sputnik V |
| 3rd row | Pfizer/BioNTech |
| 4th row | Pfizer/BioNTech |
| 5th row | Pfizer/BioNTech |
| Value | Count | Frequency (%) |
| Pfizer/BioNTech | 1019 | |
| Moderna, Pfizer/BioNTech | 543 | |
| Oxford/AstraZeneca, Pfizer/BioNTech | 246 | 11.3% |
| Pfizer/BioNTech, Sinopharm | 73 | 3.4% |
| Sputnik V | 69 | 3.2% |
| CNBG, Sinovac | 48 | 2.2% |
| Sinovac | 45 | 2.1% |
| Oxford/AstraZeneca, Sinopharm | 28 | 1.3% |
| Pfizer/BioNTech, Sinopharm, Sputnik V | 27 | 1.2% |
| Oxford/AstraZeneca | 22 | 1.0% |
| Other values (4) | 55 | 2.5% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| pfizer/biontech | 1917 | |
| moderna | 543 | 16.4% |
| oxford/astrazeneca | 335 | 10.1% |
| sinopharm | 135 | 4.1% |
| sinovac | 121 | 3.7% |
| v | 96 | 2.9% |
| sputnik | 96 | 2.9% |
| cnbg | 48 | 1.4% |
| covaxin | 20 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 5047 | 11.5% |
| i | 4206 | 9.6% |
| r | 3265 | 7.4% |
| o | 3071 | 7.0% |
| c | 2373 | 5.4% |
| f | 2252 | 5.1% |
| / | 2252 | 5.1% |
| h | 2052 | 4.7% |
| B | 1965 | 4.5% |
| N | 1965 | 4.5% |
| Other values (24) | 15476 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 29620 | |
| Uppercase Letter | 9876 | 22.5% |
| Other Punctuation | 3292 | 7.5% |
| Space Separator | 1136 | 2.6% |
Most frequent character per category
| Value | Count | Frequency (%) |
| e | 5047 | |
| i | 4206 | |
| r | 3265 | |
| o | 3071 | |
| c | 2373 | |
| f | 2252 | |
| h | 2052 | |
| z | 1917 | 6.5% |
| a | 1489 | 5.0% |
| n | 1250 | 4.2% |
| Other values (9) | 2698 |
| Value | Count | Frequency (%) |
| B | 1965 | |
| N | 1965 | |
| P | 1917 | |
| T | 1917 | |
| M | 543 | 5.5% |
| S | 352 | 3.6% |
| O | 335 | 3.4% |
| A | 335 | 3.4% |
| Z | 335 | 3.4% |
| V | 96 | 1.0% |
| Other values (2) | 116 | 1.2% |
| Value | Count | Frequency (%) |
| / | 2252 | |
| , | 1040 |
| Value | Count | Frequency (%) |
| 1136 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 39496 | |
| Common | 4428 | 10.1% |
Most frequent character per script
| Value | Count | Frequency (%) |
| e | 5047 | |
| i | 4206 | 10.6% |
| r | 3265 | 8.3% |
| o | 3071 | 7.8% |
| c | 2373 | 6.0% |
| f | 2252 | 5.7% |
| h | 2052 | 5.2% |
| B | 1965 | 5.0% |
| N | 1965 | 5.0% |
| P | 1917 | 4.9% |
| Other values (21) | 11383 |
| Value | Count | Frequency (%) |
| / | 2252 | |
| 1136 | ||
| , | 1040 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 43924 |
Most frequent character per block
| Value | Count | Frequency (%) |
| e | 5047 | 11.5% |
| i | 4206 | 9.6% |
| r | 3265 | 7.4% |
| o | 3071 | 7.0% |
| c | 2373 | 5.4% |
| f | 2252 | 5.1% |
| / | 2252 | 5.1% |
| h | 2052 | 4.7% |
| B | 1965 | 4.5% |
| N | 1965 | 4.5% |
| Other values (24) | 15476 |
| Distinct | 47 |
|---|---|
| Distinct (%) | 2.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 17.1 KiB |
| Ministry of Health | |
|---|---|
| Government of the United Kingdom | |
| National Health Commission | 88 |
| National Health Service | 76 |
| Government of Israel | 47 |
| Other values (42) |
Length
| Max length | 59 |
|---|---|
| Median length | 21 |
| Mean length | 25.94804598 |
| Min length | 9 |
Characters and Unicode
| Total characters | 56437 |
|---|---|
| Distinct characters | 49 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 6 ? |
|---|---|
| Unique (%) | 0.3% |
Sample
| 1st row | Ministry of Health |
|---|---|
| 2nd row | Ministry of Health |
| 3rd row | Government of Andorra |
| 4th row | Government of Andorra |
| 5th row | Government of Andorra |
| Value | Count | Frequency (%) |
| Ministry of Health | 645 | |
| Government of the United Kingdom | 246 | 11.3% |
| National Health Commission | 88 | 4.0% |
| National Health Service | 76 | 3.5% |
| Government of Israel | 47 | 2.2% |
| Government of Canada | 47 | 2.2% |
| Centers for Disease Control and Prevention | 46 | 2.1% |
| Secretary of Health | 42 | 1.9% |
| Department of Statistics and Health Information | 42 | 1.9% |
| Federal Office of Public Health | 40 | 1.8% |
| Other values (37) | 856 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| of | 1470 | |
| health | 1255 | |
| ministry | 645 | 7.9% |
| government | 545 | 6.6% |
| national | 320 | 3.9% |
| the | 317 | 3.9% |
| kingdom | 246 | 3.0% |
| united | 246 | 3.0% |
| public | 223 | 2.7% |
| and | 182 | 2.2% |
| Other values (80) | 2751 |
Most occurring characters
| Value | Count | Frequency (%) |
| 6025 | 10.7% | |
| e | 5183 | 9.2% |
| t | 5080 | 9.0% |
| n | 4545 | 8.1% |
| i | 4116 | 7.3% |
| o | 3913 | 6.9% |
| a | 3502 | 6.2% |
| r | 2885 | 5.1% |
| l | 2205 | 3.9% |
| f | 1841 | 3.3% |
| Other values (39) | 17142 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 44196 | |
| Space Separator | 6025 | 10.7% |
| Uppercase Letter | 5994 | 10.6% |
| Decimal Number | 122 | 0.2% |
| Dash Punctuation | 61 | 0.1% |
| Other Punctuation | 39 | 0.1% |
Most frequent character per category
| Value | Count | Frequency (%) |
| e | 5183 | |
| t | 5080 | |
| n | 4545 | |
| i | 4116 | |
| o | 3913 | |
| a | 3502 | 7.9% |
| r | 2885 | 6.5% |
| l | 2205 | 5.0% |
| f | 1841 | 4.2% |
| s | 1812 | 4.1% |
| Other values (13) | 9114 |
| Value | Count | Frequency (%) |
| H | 1326 | |
| M | 691 | |
| G | 574 | |
| S | 443 | 7.4% |
| I | 418 | 7.0% |
| C | 385 | 6.4% |
| N | 365 | 6.1% |
| P | 314 | 5.2% |
| K | 284 | 4.7% |
| U | 246 | 4.1% |
| Other values (11) | 948 |
| Value | Count | Frequency (%) |
| 1 | 61 | |
| 9 | 61 |
| Value | Count | Frequency (%) |
| 6025 |
| Value | Count | Frequency (%) |
| - | 61 |
| Value | Count | Frequency (%) |
| , | 39 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 50190 | |
| Common | 6247 | 11.1% |
Most frequent character per script
| Value | Count | Frequency (%) |
| e | 5183 | 10.3% |
| t | 5080 | 10.1% |
| n | 4545 | 9.1% |
| i | 4116 | 8.2% |
| o | 3913 | 7.8% |
| a | 3502 | 7.0% |
| r | 2885 | 5.7% |
| l | 2205 | 4.4% |
| f | 1841 | 3.7% |
| s | 1812 | 3.6% |
| Other values (34) | 15108 |
| Value | Count | Frequency (%) |
| 6025 | ||
| - | 61 | 1.0% |
| 1 | 61 | 1.0% |
| 9 | 61 | 1.0% |
| , | 39 | 0.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 56437 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 6025 | 10.7% | |
| e | 5183 | 9.2% |
| t | 5080 | 9.0% |
| n | 4545 | 8.1% |
| i | 4116 | 7.3% |
| o | 3913 | 6.9% |
| a | 3502 | 6.2% |
| r | 2885 | 5.1% |
| l | 2205 | 3.9% |
| f | 1841 | 3.3% |
| Other values (39) | 17142 |
| Distinct | 74 |
|---|---|
| Distinct (%) | 3.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 17.1 KiB |
| https://coronavirus.data.gov.uk/details/healthcare | |
|---|---|
| http://english.www.gov.cn/news/topnews/202101/31/content_WS6016a596c6d0f72576944df7.html | 48 |
| https://datadashboard.health.gov.il/COVID-19/general | 47 |
| https://health-infobase.canada.ca/covid-19/vaccination-coverage/ | 47 |
| https://covid.cdc.gov/covid-data-tracker/#vaccinations | 46 |
| Other values (69) |
Length
| Max length | 211 |
|---|---|
| Median length | 65 |
| Mean length | 74.86804598 |
| Min length | 20 |
Characters and Unicode
| Total characters | 162838 |
|---|---|
| Distinct characters | 69 |
| Distinct categories | 7 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 6 ? |
|---|---|
| Unique (%) | 0.3% |
Sample
| 1st row | https://www.aps.dz/regions/116777-blida-covid-19-trente-vaccines-au-matin-du-1er-jour-de-la-campagne |
|---|---|
| 2nd row | https://www.aps.dz/regions/116777-blida-covid-19-trente-vaccines-au-matin-du-1er-jour-de-la-campagne |
| 3rd row | https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra |
| 4th row | https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra |
| 5th row | https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra |
| Value | Count | Frequency (%) |
| https://coronavirus.data.gov.uk/details/healthcare | 246 | 11.3% |
| http://english.www.gov.cn/news/topnews/202101/31/content_WS6016a596c6d0f72576944df7.html | 48 | 2.2% |
| https://datadashboard.health.gov.il/COVID-19/general | 47 | 2.2% |
| https://health-infobase.canada.ca/covid-19/vaccination-coverage/ | 47 | 2.2% |
| https://covid.cdc.gov/covid-data-tracker/#vaccinations | 46 | 2.1% |
| https://twitter.com/MOH_Bahrain/status/1357071460129517568 | 43 | 2.0% |
| https://informesdeis.minsal.cl/SASVisualAnalytics/?reportUri=%2Freports%2Freports%2F1a8cc7ff-7df0-474f-a147-929ee45d1900§ionIndex=0&sso_guest=true&reportViewOnly=true&reportContextBar=false&sas-welcome=false | 42 | 1.9% |
| https://www.gob.mx/salud/prensa/version-estenografica-conferencia-de-prensa-informe-diario-sobre-coronavirus-covid-19-en-mexico-262965?idiom=es | 42 | 1.9% |
| https://www.covid19.admin.ch/en/epidemiologic/vacc-doses | 40 | 1.8% |
| https://www.swissinfo.ch/spa/coronavirus-costa-rica_costa-rica-ha-aplicado-57.701-vacunas-contra-la-covid-19/46336712 | 40 | 1.8% |
| Other values (64) | 1534 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| https://coronavirus.data.gov.uk/details/healthcare | 246 | 11.3% |
| http://english.www.gov.cn/news/topnews/202101/31/content_ws6016a596c6d0f72576944df7.html | 48 | 2.2% |
| https://health-infobase.canada.ca/covid-19/vaccination-coverage | 47 | 2.2% |
| https://datadashboard.health.gov.il/covid-19/general | 47 | 2.2% |
| https://covid.cdc.gov/covid-data-tracker/#vaccinations | 46 | 2.1% |
| https://twitter.com/moh_bahrain/status/1357071460129517568 | 43 | 2.0% |
| https://informesdeis.minsal.cl/sasvisualanalytics/?reporturi=%2freports%2freports%2f1a8cc7ff-7df0-474f-a147-929ee45d1900§ionindex=0&sso_guest=true&reportviewonly=true&reportcontextbar=false&sas-welcome=false | 42 | 1.9% |
| https://www.gob.mx/salud/prensa/version-estenografica-conferencia-de-prensa-informe-diario-sobre-coronavirus-covid-19-en-mexico-262965?idiom=es | 42 | 1.9% |
| https://www.swissinfo.ch/spa/coronavirus-costa-rica_costa-rica-ha-aplicado-57.701-vacunas-contra-la-covid-19/46336712 | 40 | 1.8% |
| https://www.covid19.admin.ch/en/epidemiologic/vacc-doses | 40 | 1.8% |
| Other values (64) | 1534 |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 12351 | 7.6% |
| a | 11484 | 7.1% |
| / | 10681 | 6.6% |
| s | 9775 | 6.0% |
| o | 9227 | 5.7% |
| e | 8925 | 5.5% |
| i | 8853 | 5.4% |
| - | 7342 | 4.5% |
| c | 6804 | 4.2% |
| n | 6203 | 3.8% |
| Other values (59) | 71193 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 119994 | |
| Other Punctuation | 18496 | 11.4% |
| Decimal Number | 13942 | 8.6% |
| Dash Punctuation | 7342 | 4.5% |
| Uppercase Letter | 2427 | 1.5% |
| Connector Punctuation | 335 | 0.2% |
| Math Symbol | 302 | 0.2% |
Most frequent character per category
| Value | Count | Frequency (%) |
| t | 12351 | 10.3% |
| a | 11484 | 9.6% |
| s | 9775 | 8.1% |
| o | 9227 | 7.7% |
| e | 8925 | 7.4% |
| i | 8853 | 7.4% |
| c | 6804 | 5.7% |
| n | 6203 | 5.2% |
| r | 6139 | 5.1% |
| d | 5304 | 4.4% |
| Other values (16) | 34929 |
| Value | Count | Frequency (%) |
| O | 308 | |
| C | 234 | 9.6% |
| I | 209 | 8.6% |
| V | 189 | 7.8% |
| A | 185 | 7.6% |
| S | 139 | 5.7% |
| B | 129 | 5.3% |
| F | 126 | 5.2% |
| P | 126 | 5.2% |
| M | 117 | 4.8% |
| Other values (12) | 665 |
| Value | Count | Frequency (%) |
| 1 | 2574 | |
| 9 | 1973 | |
| 0 | 1766 | |
| 2 | 1382 | |
| 3 | 1235 | |
| 6 | 1166 | |
| 4 | 1103 | |
| 5 | 1059 | |
| 7 | 978 | 7.0% |
| 8 | 706 | 5.1% |
| Value | Count | Frequency (%) |
| / | 10681 | |
| . | 5120 | |
| : | 2175 | 11.8% |
| & | 210 | 1.1% |
| % | 126 | 0.7% |
| ? | 92 | 0.5% |
| # | 85 | 0.5% |
| , | 7 | < 0.1% |
| Value | Count | Frequency (%) |
| - | 7342 |
| Value | Count | Frequency (%) |
| _ | 335 |
| Value | Count | Frequency (%) |
| = | 302 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 122421 | |
| Common | 40417 | 24.8% |
Most frequent character per script
| Value | Count | Frequency (%) |
| t | 12351 | 10.1% |
| a | 11484 | 9.4% |
| s | 9775 | 8.0% |
| o | 9227 | 7.5% |
| e | 8925 | 7.3% |
| i | 8853 | 7.2% |
| c | 6804 | 5.6% |
| n | 6203 | 5.1% |
| r | 6139 | 5.0% |
| d | 5304 | 4.3% |
| Other values (38) | 37356 |
| Value | Count | Frequency (%) |
| / | 10681 | |
| - | 7342 | |
| . | 5120 | |
| 1 | 2574 | 6.4% |
| : | 2175 | 5.4% |
| 9 | 1973 | 4.9% |
| 0 | 1766 | 4.4% |
| 2 | 1382 | 3.4% |
| 3 | 1235 | 3.1% |
| 6 | 1166 | 2.9% |
| Other values (11) | 5003 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 162838 |
Most frequent character per block
| Value | Count | Frequency (%) |
| t | 12351 | 7.6% |
| a | 11484 | 7.1% |
| / | 10681 | 6.6% |
| s | 9775 | 6.0% |
| o | 9227 | 5.7% |
| e | 8925 | 5.5% |
| i | 8853 | 5.4% |
| - | 7342 | 4.5% |
| c | 6804 | 4.2% |
| n | 6203 | 3.8% |
| Other values (59) | 71193 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| country | iso_code | date | total_vaccinations | people_vaccinated | people_fully_vaccinated | daily_vaccinations_raw | daily_vaccinations | total_vaccinations_per_hundred | people_vaccinated_per_hundred | people_fully_vaccinated_per_hundred | daily_vaccinations_per_million | vaccines | source_name | source_website | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Algeria | DZA | 2021-01-29 | 0.0 | NaN | NaN | NaN | NaN | 0.00 | NaN | NaN | NaN | Sputnik V | Ministry of Health | https://www.aps.dz/regions/116777-blida-covid-19-trente-vaccines-au-matin-du-1er-jour-de-la-campagne |
| 1 | Algeria | DZA | 2021-01-30 | 30.0 | NaN | NaN | 30.0 | 30.0 | 0.00 | NaN | NaN | 1.0 | Sputnik V | Ministry of Health | https://www.aps.dz/regions/116777-blida-covid-19-trente-vaccines-au-matin-du-1er-jour-de-la-campagne |
| 2 | Andorra | AND | 2021-01-25 | 576.0 | 576.0 | NaN | NaN | NaN | 0.75 | 0.75 | NaN | NaN | Pfizer/BioNTech | Government of Andorra | https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra |
| 3 | Andorra | AND | 2021-01-26 | NaN | NaN | NaN | NaN | 66.0 | NaN | NaN | NaN | 854.0 | Pfizer/BioNTech | Government of Andorra | https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra |
| 4 | Andorra | AND | 2021-01-27 | NaN | NaN | NaN | NaN | 66.0 | NaN | NaN | NaN | 854.0 | Pfizer/BioNTech | Government of Andorra | https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra |
| 5 | Andorra | AND | 2021-01-28 | NaN | NaN | NaN | NaN | 66.0 | NaN | NaN | NaN | 854.0 | Pfizer/BioNTech | Government of Andorra | https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra |
| 6 | Andorra | AND | 2021-01-29 | NaN | NaN | NaN | NaN | 66.0 | NaN | NaN | NaN | 854.0 | Pfizer/BioNTech | Government of Andorra | https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra |
| 7 | Andorra | AND | 2021-01-30 | NaN | NaN | NaN | NaN | 66.0 | NaN | NaN | NaN | 854.0 | Pfizer/BioNTech | Government of Andorra | https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra |
| 8 | Andorra | AND | 2021-01-31 | NaN | NaN | NaN | NaN | 66.0 | NaN | NaN | NaN | 854.0 | Pfizer/BioNTech | Government of Andorra | https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra |
| 9 | Andorra | AND | 2021-02-01 | 1036.0 | 1036.0 | NaN | NaN | 66.0 | 1.34 | 1.34 | NaN | 854.0 | Pfizer/BioNTech | Government of Andorra | https://www.govern.ad/comunicats/item/12379-se-supera-el-miler-de-persones-vacunes-contra-el-coronavirus-sars-cov-2-a-andorra |
Last rows
| country | iso_code | date | total_vaccinations | people_vaccinated | people_fully_vaccinated | daily_vaccinations_raw | daily_vaccinations | total_vaccinations_per_hundred | people_vaccinated_per_hundred | people_fully_vaccinated_per_hundred | daily_vaccinations_per_million | vaccines | source_name | source_website | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2165 | Wales | NaN | 2021-01-24 | 271376.0 | 270833.0 | 543.0 | 6322.0 | 17063.0 | 8.61 | 8.59 | 0.02 | 5412.0 | Oxford/AstraZeneca, Pfizer/BioNTech | Government of the United Kingdom | https://coronavirus.data.gov.uk/details/healthcare |
| 2166 | Wales | NaN | 2021-01-25 | 290147.0 | 289566.0 | 581.0 | 18771.0 | 18279.0 | 9.20 | 9.18 | 0.02 | 5798.0 | Oxford/AstraZeneca, Pfizer/BioNTech | Government of the United Kingdom | https://coronavirus.data.gov.uk/details/healthcare |
| 2167 | Wales | NaN | 2021-01-26 | 312944.0 | 312305.0 | 639.0 | 22797.0 | 19537.0 | 9.93 | 9.91 | 0.02 | 6197.0 | Oxford/AstraZeneca, Pfizer/BioNTech | Government of the United Kingdom | https://coronavirus.data.gov.uk/details/healthcare |
| 2168 | Wales | NaN | 2021-01-27 | 336745.0 | 336071.0 | 674.0 | 23801.0 | 20845.0 | 10.68 | 10.66 | 0.02 | 6611.0 | Oxford/AstraZeneca, Pfizer/BioNTech | Government of the United Kingdom | https://coronavirus.data.gov.uk/details/healthcare |
| 2169 | Wales | NaN | 2021-01-28 | 362970.0 | 362253.0 | 717.0 | 26225.0 | 21463.0 | 11.51 | 11.49 | 0.02 | 6807.0 | Oxford/AstraZeneca, Pfizer/BioNTech | Government of the United Kingdom | https://coronavirus.data.gov.uk/details/healthcare |
| 2170 | Wales | NaN | 2021-01-29 | 378950.0 | 378200.0 | 750.0 | 15980.0 | 19705.0 | 12.02 | 12.00 | 0.02 | 6250.0 | Oxford/AstraZeneca, Pfizer/BioNTech | Government of the United Kingdom | https://coronavirus.data.gov.uk/details/healthcare |
| 2171 | Wales | NaN | 2021-01-30 | 404249.0 | 403463.0 | 786.0 | 25299.0 | 19885.0 | 12.82 | 12.80 | 0.02 | 6307.0 | Oxford/AstraZeneca, Pfizer/BioNTech | Government of the United Kingdom | https://coronavirus.data.gov.uk/details/healthcare |
| 2172 | Wales | NaN | 2021-01-31 | 417147.0 | 416306.0 | 841.0 | 12898.0 | 20824.0 | 13.23 | 13.20 | 0.03 | 6605.0 | Oxford/AstraZeneca, Pfizer/BioNTech | Government of the United Kingdom | https://coronavirus.data.gov.uk/details/healthcare |
| 2173 | Wales | NaN | 2021-02-01 | 440706.0 | 439640.0 | 1066.0 | 23559.0 | 21508.0 | 13.98 | 13.94 | 0.03 | 6822.0 | Oxford/AstraZeneca, Pfizer/BioNTech | Government of the United Kingdom | https://coronavirus.data.gov.uk/details/healthcare |
| 2174 | Wales | NaN | 2021-02-02 | 463657.0 | 462497.0 | 1160.0 | 22951.0 | 21530.0 | 14.71 | 14.67 | 0.04 | 6829.0 | Oxford/AstraZeneca, Pfizer/BioNTech | Government of the United Kingdom | https://coronavirus.data.gov.uk/details/healthcare |